Introduction#
Quick ML Algo Overview#
Algorithm |
Description |
Use Case |
Image |
---|---|---|---|
k-Nearest Neighbours |
Easy to undestand Can be used for small datasets |
TODO |
|
Random Forest |
Easy to understand Can be used for big datasets Wide use possible |
TODO |
|
Naive Bayes |
Statistical classifiers For multiple independent features |
TODO |
|
Neuronal Network |
For complex problems Can be used for big datasets Greater effort |
TODO |